Air treatment method, air treatment apparatus, and computer-readable storage medium

CN122384218BActive Publication Date: 2026-10-13GREE ELECTRIC APPLIANCE INC OF ZHUHAI
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Patent Information

Application Number
CN202610832362.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-06-10
Publication Date
2026-10-13
Estimated Expiration
2046-06-10

AI Technical Summary

Technical Problem

[0004]本发明提供了一种空气处理方法、空气处理设备及计算机可读存储介质,以解决辉光放电除味技术在放电过程中会电离空气中的氧气生成臭氧,臭氧过量时容易刺激人体呼吸道、损伤黏膜,长期接触过量的臭氧会危害用户健康的问题

Benefits of technology

[0037]有益效果:本发明提供的计算机可读存储介质,通过采用上述实施方法的空气处理方法,具有上述空气处理方法的一切技术效果。

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Abstract

The application relates to the technical field of air treatment equipment, and discloses an air treatment method, an air treatment equipment and a computer readable storage medium. The air treatment method comprises the following steps: acquiring multi-dimensional air related data in real time; acquiring a target odor removal efficiency and an upper limit of ozone generation allowance according to the multi-dimensional air related data; acquiring optimal discharge parameters of an air treatment equipment based on the target odor removal efficiency, the upper limit of ozone generation allowance and a preset prediction model; and controlling an odor removal module of the air treatment equipment to perform graded intelligent discharge according to the optimal discharge parameters. The air treatment method of the application intelligently controls the ozone generated in the discharge process of the odor removal module, ensures the VOCs and odor purification effect, and stably controls the ozone release amount in a proper range.
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Description

Technical Field

[0001] This invention relates to the field of air handling equipment technology, and more specifically to air handling methods, air handling equipment, and computer-readable storage media. Background Technology

[0002] Air purifiers and other air handling equipment can purify indoor VOCs, odors, bacteria, and microorganisms. Glow discharge (including glow plasma, corona discharge, etc.) deodorization technology, with its advantages of thorough decomposition, no adsorption saturation problem, and dual effects of sterilization and deodorization, is often used in mid-to-high-end air purifiers.

[0003] However, the glow discharge deodorization technology ionizes oxygen in the air to generate ozone during the discharge process. Ozone is an irritating and harmful gas. Excessive ozone can easily irritate the human respiratory tract and damage mucous membranes. Long-term exposure to excessive ozone can harm the user's health. Summary of the Invention

[0004] This invention provides an air treatment method, an air treatment device, and a computer-readable storage medium to address the problem that glow discharge deodorization technology ionizes oxygen in the air to generate ozone during the discharge process. Excessive ozone can easily irritate the human respiratory tract and damage mucous membranes, and long-term exposure to excessive ozone can harm the user's health.

[0005] In a first aspect, the present invention provides an air treatment method, comprising: Real-time acquisition of multi-dimensional air-related data; The target deodorization efficiency and the allowable upper limit of ozone generation are obtained based on the multi-dimensional air-related data. The optimal discharge parameters of the air handling equipment are obtained based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the preset prediction model. The deodorization module of the air handling equipment is controlled to perform graded intelligent discharge based on the optimal discharge parameters.

[0006] Beneficial effects: Based on real-time acquisition of multi-dimensional air-related data, the target deodorization efficiency and the allowable upper limit of ozone generation are obtained. Then, based on the target deodorization efficiency, the allowable upper limit of ozone generation, and a preset prediction model, the optimal discharge parameters of the air handling equipment are obtained. The deodorization module of the air handling equipment is then controlled to perform graded intelligent discharge according to the optimal discharge parameters. This achieves precise source control of ozone in the early stages and intelligent management of dynamic adaptation to mid-term operating conditions. During the discharge process of the deodorization module, the ozone generated by ionization is intelligently controlled. While ensuring the purification effect of VOCs (volatile organic compounds) and odors, the ozone release is stably controlled within an appropriate range, reducing the safety hazards of ozone leakage due to excessive ozone, reducing the irritation to the human respiratory tract and damage to mucous membranes caused by excessive ozone, improving the health performance of the air handling equipment, extending the service life of the deodorization module and the ozone reduction network of the air handling equipment, and improving the safety and user experience of the air handling equipment.

[0007] In one optional implementation, the preset prediction model includes an adaptive nonlinear prediction model; obtaining the optimal discharge parameters of the air handling equipment based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the preset prediction model includes: The optimal discharge power of the air handling equipment is obtained based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the adaptive nonlinear prediction model. The discharge voltage, discharge frequency, and duty cycle that the drive circuit can execute are obtained based on the optimal discharge power.

[0008] Beneficial effects: Based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the adaptive nonlinear prediction model, the optimal discharge power of the air handling equipment is obtained. Then, the discharge voltage, discharge frequency, and duty cycle that the drive circuit can execute can be obtained according to the optimal discharge power. The nonlinear influence of the discharge parameters of the deodorization module, environmental conditions, and device aging degree on ozone generation and deodorization effect can be accurately captured, so as to achieve more precise control of the deodorization module of the air handling equipment.

[0009] In one optional implementation, controlling the deodorization module of the air handling equipment to perform graded intelligent discharge according to the optimal discharge parameters includes: Safety threshold verification is performed based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold. If the verification passes, the air handling equipment will be controlled to perform graded intelligent discharge based on the optimal discharge parameters according to the pollution level. If the verification fails, safety intervention will be implemented on the air handling equipment.

[0010] Beneficial effects: A triple-judgment mechanism is implemented by verifying the safety threshold based on the optimal discharge parameters, odor removal requirements, ozone prediction, and measured safety threshold, thus mitigating safety risks caused by misjudgments based on a single parameter. Furthermore, upon successful verification, the air handling equipment is controlled to perform graded intelligent discharge according to the pollution level and optimal discharge parameters, enabling more precise control of the air handling equipment. If the verification fails, safety intervention is implemented on the air handling equipment, improving control accuracy in subsequent control processes and obtaining more precise data while maintaining safety.

[0011] In one optional implementation, the preset prediction model includes an ozone generation prediction model and an odor removal efficiency prediction model; the safety threshold verification based on the optimal discharge parameters, odor removal requirements, ozone prediction value, and measured safety threshold includes: Based on the ozone generation prediction model, the estimated ozone generation for a single period is obtained, and the comparison result between the estimated ozone generation for a single period and the upper limit of ozone generation is obtained. Based on the odor removal efficiency prediction model, the estimated odor removal efficiency is obtained, and the comparison results between the estimated odor removal efficiency and the target odor removal efficiency are obtained. If the estimated ozone generation per cycle is less than or equal to the upper limit of ozone generation, and the estimated deodorization efficiency is greater than or equal to the target deodorization efficiency, the verification is passed. Then, based on the pollution level, the air handling equipment is controlled to perform graded intelligent discharge according to the optimal discharge parameters.

[0012] In one optional implementation, the safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold further includes: Real-time acquisition of ozone concentration at the air outlet of air handling equipment; If the ozone concentration at the air outlet exceeds the warning threshold, the verification fails, and the air handling equipment is controlled to adjust the discharge power downward. If the ozone concentration at the air outlet exceeds the national standard limit, the verification fails, and the air handling equipment is shut down.

[0013] In one optional implementation, the safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold further includes: Real-time acquisition of the measured deodorization efficiency and ozone concentration at the air outlet of the air handling equipment; If the measured deodorization efficiency is lower than the first preset percentage of the target deodorization efficiency, the verification fails. Under the premise that the ozone concentration at the air outlet is less than or equal to the upper limit of ozone generation, the discharge power is adjusted.

[0014] In one optional implementation, if the verification passes, the air handling equipment is controlled to perform graded intelligent discharge based on optimal discharge parameters according to the pollution level, including: Obtain the TVOC concentration at the air inlet of the air handling unit; If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is less than or equal to the first preset value, then the deodorization module of the air handling equipment shall be shut down. If the TVOC concentration at the air inlet meets the first preset value < TVOC concentration at the air inlet C ≤ second preset value, then the deodorization module of the air handling equipment is controlled to start and stop intermittently according to the optimal discharge parameters. If the TVOC concentration at the air inlet meets the second preset value < TVOC concentration at the air inlet ≤ third preset value, the discharge power of the deodorization module of the air handling equipment is dynamically adjusted based on the real-time operating conditions. If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is greater than the third preset value, then the ozone concentration and deodorization efficiency are obtained in real time, and the discharge power of the deodorization module of the air handling equipment is gradually increased within the safe threshold of the ozone concentration and the deodorization efficiency.

[0015] In one optional implementation, if the verification passes, controlling the air handling equipment to perform graded intelligent discharge according to optimal discharge parameters based on the pollution level further includes: If the air handling device is in sleep mode or silent exclusive mode, the maximum discharge power of the deodorization module of the air handling device is controlled to be lower than a second preset percentage of the rated power, the deodorization module is controlled to start and stop intermittently, and the safety redundancy coefficient is reduced.

[0016] In one optional implementation, the real-time acquisition of multi-dimensional air-related data includes: real-time acquisition of inlet TVOC concentration, inlet PM2.5 concentration, rated air volume of the corresponding fan speed of the air handling equipment, real-time running time, inlet air temperature, inlet air humidity, outlet TVOC concentration and outlet ozone concentration.

[0017] In one optional embodiment, the air treatment method further includes: After each complete operating cycle, the air handling equipment acquires the predicted and measured values ​​of the calibration indicators, and calculates the deviation rate based on the predicted and measured values. If the deviation rate is less than or equal to the deviation percentage, then record all the data from this run. If the deviation rate is greater than the deviation percentage and the measured ozone value is higher than the expected value, the discharge power of the deodorization module of the air handling equipment will be reduced, and the online correction of the model coefficients will be triggered.

[0018] In one optional implementation, obtaining the predicted and measured values ​​of the verification index, and calculating the deviation rate based on the predicted and measured values, includes: Obtain the estimated ozone generation, the measured ozone carry-out, the estimated deodorization efficiency, and the measured deodorization efficiency. The ozone deviation rate is calculated based on the estimated ozone generation and the measured ozone carry-out amount, and the efficiency deviation rate is calculated based on the estimated deodorization efficiency and the measured deodorization efficiency.

[0019] In one optional embodiment, the air treatment method further includes: obtaining the number of operating cycles of the deodorization module of the air treatment device and the ozone concentration at the air outlet; if the number of operating cycles reaches a preset number and the ozone concentration at the air outlet exceeds a warning threshold, then reducing the maximum discharge power of the deodorization module and pushing an ozone reduction network aging reminder or an ozone reduction network blockage reminder.

[0020] In one optional implementation, the air handling method further includes: obtaining the ozone concentration at the air outlet; if the ozone concentration at the air outlet instantaneously exceeds the national standard limit, shutting down the deodorization module of the air handling equipment, controlling the fan of the air handling equipment to run at the highest level for a preset time, pushing a safety reminder, and locking the high-power operation permission of the deodorization module.

[0021] In one optional embodiment, the air treatment method further includes: acquiring the TVOC concentration and duration at the air inlet in real time; if the TVOC concentration at the air inlet is greater than a preset concentration and the duration is greater than or equal to a preset duration, issuing a high pollution alert to the user through the display screen of the air treatment device or through an APP.

[0022] In one optional implementation, the air handling method further includes: if abnormal data is detected from the sensor at the air inlet, an automatic sensor fault alert is triggered, and the high-power operation of the deodorization module of the air handling equipment is suspended.

[0023] In one optional implementation, the air handling method further includes: if the fan of the air handling equipment stops, the speed and air volume are mismatched, or the air passage is blocked, the deodorization module of the air handling equipment is shut down, and a fan failure reminder is sent.

[0024] In a second aspect, the present invention also provides an air handling device, comprising: The data acquisition unit is used to detect multi-dimensional air-related data in real time; A computing and storage unit, which is communicatively connected to the data acquisition unit, is used to obtain the target deodorization efficiency and the allowable upper limit of ozone generation based on the multi-dimensional air-related data. The prediction model unit is communicatively connected to the computing and storage unit and is used to obtain the optimal discharge parameters of the air handling equipment. Odor removal module; The control unit is communicatively connected to the prediction model unit, the data acquisition unit, the calculation and storage unit, and the deodorization module. The control unit is used to execute the air treatment method described above.

[0025] In one optional implementation, the data acquisition unit includes an air quality detection module, which includes an air inlet TVOC sensor, an air inlet PM2.5 sensor, an air outlet ozone concentration sensor, and an air outlet TVOC sensor.

[0026] In one optional implementation, the data acquisition unit further includes an operating status acquisition module, which includes a timing module, a fan speed acquisition module, and an odor removal module drive parameter acquisition module.

[0027] In one optional implementation, the data acquisition unit further includes an environmental parameter acquisition module, which includes a temperature and humidity sensor for acquiring the temperature and humidity of the incoming air.

[0028] In one optional implementation, the data acquisition unit further includes a restoration module status acquisition module, which is used to record the cumulative usage time of the ozone reduction network, historical ozone treatment load data, and calibration reduction efficiency attenuation correction coefficient.

[0029] In one optional implementation, the computing and storage unit includes a microcontroller and a memory, wherein the microcontroller is communicatively connected to the memory, the data acquisition unit, and the prediction model unit.

[0030] In one optional implementation, the prediction model unit includes an adaptive nonlinear prediction model for obtaining the optimal discharge power of the air handling equipment.

[0031] In one optional implementation, the prediction model unit includes an ozone generation prediction model and an odor removal efficiency prediction model. The ozone generation prediction model is used to obtain the estimated ozone generation for a single period; the odor removal efficiency prediction model is used to obtain the estimated odor removal efficiency.

[0032] In one alternative implementation, the control unit includes a hierarchical control and decision unit for hierarchically controlling the air handling equipment.

[0033] In one optional implementation, the control unit includes a deodorization module drive unit for controlling the deodorization module.

[0034] In one optional implementation, the control unit further includes an effect verification unit for executing an effect verification program.

[0035] In one alternative implementation, the air handling device is an air purifier.

[0036] Thirdly, the present invention also provides a computer-readable storage medium storing computer instructions that, when executed, implement the above-described air treatment method.

[0037] Beneficial effects: The computer-readable storage medium provided by the present invention, through the air treatment method of the above-described embodiments, has all the technical effects of the above-described air treatment method. Attached Figure Description

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0039] Figure 1 This is a schematic diagram of the first process of the air treatment method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a second process of the air treatment method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the third process of the air treatment method according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the fourth process of the air treatment method according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the fifth process of the air treatment method according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the sixth process of the air treatment method according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the seventh process of the air treatment method according to an embodiment of the present invention; Figure 8 This is a schematic diagram of the eighth process of the air treatment method according to an embodiment of the present invention; Figure 9 This is a schematic diagram of the ninth process of the air treatment method according to an embodiment of the present invention; Figure 10 This is a schematic diagram of the tenth process of the air treatment method according to an embodiment of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] The following is combined with Figures 1 to 10 The following describes embodiments of the present invention.

[0042] According to an embodiment of the present invention, in one aspect, an air treatment method is provided, comprising: S1. Real-time acquisition of multi-dimensional air-related data.

[0043] S2. Obtain the target deodorization efficiency and the allowable upper limit of ozone generation based on the multi-dimensional air-related data.

[0044] S3. Based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the preset prediction model, obtain the optimal discharge parameters of the air handling equipment.

[0045] S4. Control the deodorization module of the air handling equipment to perform graded intelligent discharge according to the optimal discharge parameters.

[0046] Based on real-time multi-dimensional air-related data, the target deodorization efficiency and the permissible upper limit of ozone generation are obtained. Then, based on the target deodorization efficiency, the permissible upper limit of ozone generation, and a preset prediction model, the optimal discharge parameters of the air handling equipment are obtained. The deodorization module of the air handling equipment is then controlled to perform graded intelligent discharge according to the optimal discharge parameters. This achieves precise source control of ozone in the early stages and intelligent management of dynamic adaptation to mid-term operating conditions. During the discharge process of the deodorization module, the ozone generated by ionization is intelligently controlled. While ensuring the purification effect of VOCs (volatile organic compounds) and odors, the ozone release is stably controlled within an appropriate range, reducing the safety hazards of ozone leakage, reducing the irritation to the human respiratory tract and damage to mucous membranes caused by excessive ozone, improving the health performance of the air handling equipment, extending the service life of the deodorization module and the ozone reduction network of the air handling equipment, and improving the safety and user experience of the air handling equipment.

[0047] In a specific implementation, the odor removal module is a glow discharge module.

[0048] In one embodiment, the preset prediction model includes an adaptive nonlinear prediction model; obtaining the optimal discharge parameters of the air handling equipment based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the preset prediction model includes: S21. Based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the adaptive nonlinear prediction model, obtain the optimal discharge power of the air handling equipment, and obtain the discharge voltage, discharge frequency, and duty cycle that the drive circuit can execute according to the optimal discharge power.

[0049] Based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the adaptive nonlinear prediction model, the optimal discharge power of the air handling equipment is obtained. Then, the discharge voltage, discharge frequency, and duty cycle that the drive circuit can execute can be obtained according to the optimal discharge power. The nonlinear influence of the discharge parameters of the deodorization module, environmental conditions, and device aging degree on ozone generation and deodorization effect can be accurately captured, so as to achieve more precise control of the deodorization module of the air handling equipment.

[0050] In one embodiment, controlling the deodorization module of the air handling device to perform graded intelligent discharge according to the optimal discharge parameters includes: S41. Perform safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold.

[0051] S42. If the verification passes, the air handling equipment is controlled to perform graded intelligent discharge according to the optimal discharge parameters based on the pollution level.

[0052] S43. If the verification fails, take safety measures to intervene in the air handling equipment.

[0053] A safety threshold verification is performed based on the optimal discharge parameters, odor removal requirements, ozone prediction, and measured safety threshold, implementing a triple judgment mechanism to avoid safety risks caused by misjudgment of a single parameter. Furthermore, after successful verification, the air handling equipment is controlled to perform graded intelligent discharge according to the pollution level and optimal discharge parameters, enabling more precise control of the air handling equipment. If the verification fails, safety intervention is implemented on the air handling equipment, improving control accuracy in subsequent control processes and obtaining more precise data while maintaining safety.

[0054] In one embodiment, the preset prediction model includes an ozone generation prediction model and an odor removal efficiency prediction model; the safety threshold verification based on the optimal discharge parameters, odor removal requirements, ozone prediction value, and measured safety threshold includes: S411. Based on the ozone generation prediction model, obtain the estimated ozone generation for a single period, and obtain the comparison result between the estimated ozone generation for a single period and the upper limit of ozone generation.

[0055] S412. Based on the deodorization efficiency prediction model, obtain the estimated deodorization efficiency and obtain the comparison result between the estimated deodorization efficiency and the target deodorization efficiency.

[0056] S413. If the estimated ozone generation in a single cycle is less than or equal to the upper limit of ozone generation, and the estimated deodorization efficiency is greater than or equal to the target deodorization efficiency, the verification is passed. Then, according to the pollution level, the air handling equipment is controlled to perform graded intelligent discharge based on the optimal discharge parameters.

[0057] Based on the ozone generation prediction model, the estimated ozone generation for a single period is obtained, and then the estimated ozone generation for a single period is verified against the upper limit of ozone generation. Based on the deodorization efficiency prediction model, the estimated deodorization efficiency is obtained, and then the estimated deodorization efficiency is verified against the target deodorization efficiency. Based on the above dual constraints, through traversal solution and gradient optimization, the optimal discharge power that meets the deodorization requirements and has the lowest ozone generation is obtained, and then converted into control commands such as discharge voltage, discharge frequency and duty cycle that can be executed by the drive circuit.

[0058] In one specific implementation, the ozone generation prediction model is as follows: .

[0059] Among them, O 3,pre The values ​​are: α0 - Single-cycle estimated ozone generation (mg / h); P - Discharge power of the deodorization module (P=U×I, W); α0 - Intercept term (factory calibration); α1 - Linear power coefficient (linear increase in ozone generation with power); α2 - Nonlinear correction coefficient (capturing the nonlinear variation characteristics of ozone generation under high power, factory calibration); α3 - Humidity correction coefficient (ozone generation during glow discharge changes under high humidity, based on experimental calibration); α4 - Aging correction coefficient (module aging and ozone generation characteristic drift due to cumulative operating time, supports online updates); α5 - Airflow correction coefficient (airflow affects gas residence time and ozone carry-out in the discharge area, factory calibration); α6 - Humidity correction coefficient (ozone generation during glow discharge changes under different temperature conditions, based on experimental calibration).

[0060] In one specific implementation, the odor removal efficiency prediction model is as follows: .

[0061] Where, η voc,preTo estimate the deodorization efficiency; γ0, γ1, and γ2 are factory-calibrated coefficients, capturing the marginal decrease in deodorization efficiency with decreasing discharge power and saturation characteristics; k voc This is a pollutant concentration correction factor, based on dynamic adjustment of the TVOC concentration at the air inlet; k RH k H This is a temperature and humidity correction factor, which is adapted in real time based on environmental parameters.

[0062] In one embodiment, the safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold further includes: S414. Real-time acquisition of ozone concentration at the air outlet of the air handling unit.

[0063] S415. If the ozone concentration at the air outlet exceeds the warning threshold, the verification fails, and the air handling equipment is controlled to adjust the discharge power downward.

[0064] S416. If the ozone concentration at the air outlet exceeds the national standard limit, the verification fails, and the air handling equipment is shut down.

[0065] The ozone concentration at the air outlet directly reflects whether ozone is excessive. By comparing the ozone concentration at the air outlet with the warning threshold and the national standard limit, the air handling equipment can be controlled accordingly to ensure the air purification effect while keeping the ozone release within an appropriate range.

[0066] In one embodiment, the safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold further includes: S417. Real-time acquisition of the measured deodorization efficiency and ozone concentration at the air outlet of the air handling equipment; S418. If the measured deodorization efficiency is lower than the first preset percentage of the target deodorization efficiency, the verification fails. Under the premise that the ozone concentration at the air outlet is less than or equal to the upper limit of ozone generation, the discharge power is adjusted.

[0067] The measured odor removal efficiency reflects the odor removal effect of the odor removal module. By verifying the measured odor removal efficiency and adjusting the discharge power while ensuring that the ozone concentration at the air outlet is within a reasonable range, the ozone release can be stably controlled within an appropriate range while maintaining the air purification effect.

[0068] In one specific implementation, the first preset percentage may be 20%.

[0069] In a specific implementation, the safety threshold verification includes main control logic, a first auxiliary verification logic, and a second auxiliary verification logic. The main control logic, based on optimal discharge parameters, determines whether the estimated ozone level is within the allowable upper limit while also meeting the target deodorization efficiency, thereby determining the basic control strategy. The first auxiliary verification logic monitors the real-time ozone concentration at the air outlet. If the ozone concentration at the outlet exceeds the warning threshold (80% of the national standard limit), the discharge power of the deodorization module is reduced; if it exceeds the national standard limit, a shutdown protection procedure is immediately executed. The second auxiliary verification logic verifies the measured deodorization efficiency. If the measured deodorization efficiency is more than 20% lower than the target deodorization efficiency, the discharge power of the deodorization module is finely adjusted within the allowable upper limit of ozone to ensure the purification effect.

[0070] In one embodiment, if the verification passes, controlling the air handling equipment to perform graded intelligent discharge based on optimal discharge parameters according to the pollution level includes: S421. Obtain the TVOC concentration at the air inlet of the air handling unit.

[0071] S422. If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is less than or equal to a first preset value, then the deodorization module of the air handling equipment shall be shut down.

[0072] If the TVOC concentration at the air inlet meets the condition of ≤ first preset value, the pollution level is considered to be in clean standby mode. At this time, the indoor air quality meets the standards, and the deodorization module of the air handling equipment can be turned off, while only environmental monitoring is maintained to avoid ozone generation.

[0073] S423. If the TVOC concentration at the air inlet meets the first preset value < TVOC concentration at the air inlet ≤ second preset value, then control the deodorization module of the air handling equipment to start and stop intermittently according to the optimal discharge parameters.

[0074] If the TVOC concentration at the air inlet meets the first preset value < TVOC concentration at the air inlet ≤ second preset value, then the pollution level is considered to be light pollution. At this time, the deodorization module of the air handling equipment is controlled to start and stop intermittently according to the optimal discharge parameters. That is, after matching the optimal discharge parameters, an intermittent start-stop cycle of "running for t1 minutes and stopping for t2 minutes" is adopted. While ensuring the deodorization effect, the cumulative amount of ozone generation is greatly reduced, and sufficient decomposition time is reserved for the ozone reduction network.

[0075] In a specific implementation, t1 minutes can range from 2 minutes to 5 minutes, and t2 minutes can range from 4 minutes to 8 minutes.

[0076] S424. If the TVOC concentration at the air inlet meets the second preset value < TVOC concentration at the air inlet ≤ third preset value, then the discharge power of the deodorization module of the air handling equipment is dynamically adjusted based on the real-time operating conditions.

[0077] If the TVOC concentration at the air inlet meets the second preset value < TVOC concentration at the air inlet ≤ third preset value, then the pollution level is considered to be moderate pollution. At this time, the discharge power of the deodorization module of the air handling equipment is dynamically adjusted based on the real-time operating conditions, and the ozone generation is always kept within the allowable upper limit in a closed loop, taking into account both deodorization efficiency and ozone safety.

[0078] S425. If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is greater than the third preset value, then the ozone concentration and deodorization efficiency are obtained in real time, and the discharge power of the deodorization module of the air handling equipment is gradually increased within the safe threshold of the ozone concentration and the deodorization efficiency.

[0079] If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is greater than the third preset value, then the pollution level is considered to be moderate pollution. At this time, the progressive power mode is triggered to obtain the ozone concentration and deodorization efficiency in real time, and gradually increase the discharge power of the deodorization module of the air handling equipment within the safe threshold of the ozone concentration and the deodorization efficiency.

[0080] In one specific embodiment, if the verification passes, controlling the air handling equipment to perform graded intelligent discharge according to optimal discharge parameters based on the pollution level includes: S421. Obtain the TVOC concentration at the air inlet of the air handling unit.

[0081] S422. If the TVOC concentration at the air inlet meets the requirement of ≤0.05mg / m³, then the deodorization module of the air handling equipment shall be shut down.

[0082] S423. If the TVOC concentration at the air inlet meets the requirement of 0.05 mg / m³ < TVOC concentration at the air inlet ≤ 0.3 mg / m³, then the deodorization module of the air handling equipment is controlled to start and stop intermittently according to the optimal discharge parameters. After matching the optimal discharge parameters, it operates in an intermittent start-stop cycle of "run for 3 minutes, stop for 5 minutes".

[0083] S424. If the TVOC concentration at the air inlet is 0.3 mg / m³ < TVOC concentration at the air inlet ≤ 1.0 mg / m³, the discharge power of the deodorization module of the air handling equipment is dynamically adjusted based on the real-time operating conditions.

[0084] S425. If the TVOC concentration at the air inlet meets the requirement of >1.0 mg / m³, then the ozone concentration and deodorization efficiency are obtained in real time, and the discharge power of the deodorization module of the air handling equipment is gradually increased within the safe threshold of the ozone concentration and the deodorization efficiency.

[0085] In one embodiment, if the verification passes, controlling the air handling equipment to perform graded intelligent discharge based on optimal discharge parameters according to the pollution level further includes: S426. If the air handling device is in sleep mode or silent exclusive mode, the maximum discharge power of the deodorization module of the air handling device is controlled to be lower than the second preset percentage of the rated power, the deodorization module is controlled to start and stop intermittently, and the safety redundancy coefficient is reduced.

[0086] When the air handling unit is in sleep mode or silent dedicated mode, regardless of the pollution level, it automatically limits the maximum discharge power of the glow module to no more than the second preset percentage of the rated power, prioritizes intermittent operation mode, and lowers the safety redundancy coefficient to further tighten the upper limit of ozone generation, thereby minimizing the risk of ozone release and operating noise.

[0087] In a specific implementation, the second preset percentage can be 30%.

[0088] In one embodiment, the real-time acquisition of multi-dimensional air-related data includes: real-time acquisition of inlet TVOC concentration, inlet PM2.5 concentration, rated airflow of the air handling equipment fan at the corresponding speed, real-time running time, inlet air temperature, inlet air humidity, outlet TVOC concentration, and outlet ozone concentration.

[0089] The inlet TVOC concentration, inlet PM2.5 concentration, rated air volume of the air handling unit's fan at the corresponding speed, real-time running time, inlet air temperature, inlet air humidity, outlet TVOC concentration, and outlet ozone concentration can provide good feedback on multi-dimensional air quality data and relevant data of the air handling unit.

[0090] In one embodiment, the air treatment method further includes: S5. After each complete operating cycle, the air handling equipment obtains the predicted and measured values ​​of the calibration indicators, and calculates the deviation rate based on the predicted and measured values.

[0091] S6. If the deviation rate is less than or equal to the deviation percentage, then record all the data from this run.

[0092] S7. If the deviation rate is greater than the deviation percentage and the measured ozone value is higher than the expected value, the discharge power of the deodorization module of the air treatment equipment is reduced, and the online correction of the model coefficients is triggered.

[0093] After each complete operating cycle, the deviation rate between the predicted and measured values ​​of the calibration indicators is checked, and closed-loop correction is performed based on the measured data to ensure control accuracy.

[0094] In a specific implementation, the deviation percentage can be 10%. A complete running cycle can range from 8 minutes to 12 minutes.

[0095] In one embodiment, obtaining the predicted and measured values ​​of the verification index, and calculating the deviation rate based on the predicted and measured values, includes: S51. Obtain the estimated ozone generation value, the measured ozone carry-out amount, the estimated deodorization efficiency, and the measured deodorization efficiency.

[0096] S52. Calculate the ozone deviation rate based on the estimated ozone generation value and the measured ozone carry-out amount, and calculate the efficiency deviation rate based on the estimated deodorization efficiency and the measured deodorization efficiency.

[0097] Calculating the ozone deviation rate and efficiency deviation rate allows for verification and correction from both aspects, resulting in better verification results.

[0098] In one embodiment, the air treatment method further includes: obtaining the number of operating cycles of the deodorization module of the air treatment device and the ozone concentration at the air outlet; if the number of operating cycles reaches a preset number and the ozone concentration at the air outlet exceeds a warning threshold, then reducing the maximum discharge power of the deodorization module and pushing an ozone reduction network aging reminder or an ozone reduction network blockage reminder.

[0099] If the ozone concentration at the air outlet exceeds the warning threshold after running for a preset number of cycles, even if the deodorization efficiency of the deodorization module meets the standard, the maximum discharge power of the deodorization module will be forcibly reduced, and an ozone reduction network aging reminder or an ozone reduction network blockage reminder will be sent to inform the user to check and replace the ozone reduction network.

[0100] In a specific implementation, the preset number can be 3 times.

[0101] In one embodiment, the air handling method further includes: obtaining the ozone concentration at the air outlet; if the ozone concentration at the air outlet instantaneously exceeds the national standard limit, shutting down the deodorization module of the air handling equipment, controlling the fan of the air handling equipment to run at the highest level for a preset time, pushing a safety reminder, and locking the high-power operation permission of the deodorization module.

[0102] If the ozone concentration at the air outlet momentarily exceeds the national standard limit, the ozone level is exceeded and emergency measures are required. In this case, the deodorization module of the air handling unit should be shut down immediately, and the fan of the air handling unit should be controlled to run at the highest level for a preset time to purge the residual ozone. At the same time, a safety reminder should be sent to the user, and the high-power operation permission of the deodorization module should be locked until the fault is identified and restored.

[0103] In a specific implementation, the preset duration can be 5 minutes.

[0104] In one embodiment, the air treatment method further includes: acquiring the TVOC concentration and duration at the air inlet in real time; if the TVOC concentration at the air inlet is greater than a preset concentration and the duration is greater than or equal to a preset duration, issuing a high pollution alert to the user through the display screen of the air treatment device or through an APP.

[0105] If the TVOC concentration at the air inlet is greater than the preset concentration, and the duration is greater than or equal to the preset duration, then the high pollution emergency adaptation program will be activated. A high pollution alert will be issued to the user through the display screen of the air handling equipment or through the APP. The alert content may be "A high concentration of VOCs has been detected in the current environment. The equipment will optimize the deodorization mode within a safe range. It is recommended to keep the room ventilated."

[0106] In a specific implementation, the preset concentration can be 5.0 mg / m³, and the preset duration can be 10 minutes.

[0107] In one embodiment, the air handling method further includes: if abnormal data is detected from the sensor at the air inlet, automatically triggering a sensor fault alert and suspending the high-power operation of the deodorization module of the air handling device.

[0108] When sensor data is abnormal (such as the TVOC / ozone concentration at the air outlet being consistently higher than that at the air inlet, or the data remaining stable), a sensor fault alert will be automatically triggered, suspending the high-power operation of the deodorization module of the air handling equipment to avoid control deviations and safety risks caused by erroneous data.

[0109] In one embodiment, the air handling method further includes: if the fan of the air handling equipment stops, the speed and air volume are mismatched, or the air passage is blocked abnormally, then the deodorization module of the air handling equipment is shut down, and a fan failure reminder is pushed out.

[0110] If the fan of the air handling unit stops, the speed and air volume are mismatched, or the air passage is blocked, it is considered that the fan is abnormal. The deodorization module of the air handling unit is then shut down to prevent ozone from accumulating in the equipment cavity, eliminate the risk of high-concentration leakage, and at the same time, a fan failure reminder is sent.

[0111] In a specific implementation method, the target deodorization efficiency is dynamically set based on the TVOC concentration at the air inlet, achieving a precise match between "pollution level" and "purification intensity". target The precise value.

[0112] In one specific embodiment, the cleanroom scenario is: η target It can be 0%; in lightly polluted scenarios: η target It can be 60%; in moderately polluted scenarios: η target It can be 85%; in heavily polluted scenarios: η target It can be 90%.

[0113] In a specific implementation method, the pollution level is determined based on the TVOC concentration at the air inlet: Clean air inlet TVOC concentration range: ≤0.25 mg / m³; Slightly polluted air inlet TVOC concentration range: 0.25 mg / m³~0.5 mg / m³; Moderately polluted air inlet TVOC concentration range: 0.5 mg / m³~1.0 mg / m³; Severely polluted air inlet TVOC concentration range: >1.0 mg / m³.

[0114] In a specific implementation, the permissible upper limit for ozone generation is O 3,max The calculation formula is as follows: O 3,max =(C limit ×Q i ) / (1-η decomp ×k age )×k safe .

[0115] Among them, C limit The ozone concentration limit at the air outlet as specified by national standards; η decomp The baseline decomposition efficiency (factory calibration) for the new ozone reduction network; k age To restore the network aging correction factor (updated online based on cumulative usage data); k safe For safety redundancy, the factory-calibrated range for the normal mode is 0.6-0.8, and it is adjusted to 0.4-0.5 in sleep mode, leaving sufficient safety margin.

[0116] According to an embodiment of the present invention, in another aspect, an air treatment device is also provided, including a data acquisition unit, a computing and storage unit, a prediction model unit, an odor removal module, and a control unit. The data acquisition unit is used to detect multi-dimensional air-related data in real time; the computing and storage unit is communicatively connected to the data acquisition unit and is used to obtain a target odor removal efficiency and an allowable upper limit for ozone generation based on the multi-dimensional air-related data; the prediction model unit is communicatively connected to the computing and storage unit and is used to obtain the optimal discharge parameters of the air treatment device; the control unit is communicatively connected to the prediction model unit, the data acquisition unit, the computing and storage unit, and the odor removal module, and the control unit is used to execute the above-described air treatment method. The above-described air treatment method includes: acquiring multi-dimensional air-related data in real time; obtaining a target odor removal efficiency and an allowable upper limit for ozone generation based on the multi-dimensional air-related data; obtaining the optimal discharge parameters of the air treatment device based on the target odor removal efficiency, the allowable upper limit for ozone generation, and a preset prediction model; and controlling the odor removal module of the air treatment device to perform graded intelligent discharge according to the optimal discharge parameters.

[0117] Based on real-time multi-dimensional air-related data, the target deodorization efficiency and the allowable upper limit of ozone generation are obtained. Then, based on the target deodorization efficiency, the allowable upper limit of ozone generation, and a preset prediction model, the optimal discharge parameters of the air handling equipment are obtained. The deodorization module of the air handling equipment is then controlled to perform graded intelligent discharge according to the optimal discharge parameters. This achieves precise source control of ozone in the early stages and intelligent management of dynamic adaptation to mid-term operating conditions. During the discharge process of the deodorization module, the ozone generated by ionization is intelligently controlled. While ensuring the purification effect of VOCs (volatile organic compounds) and odors, the ozone release is stably controlled within an appropriate range, reducing the safety hazards of ozone leakage, reducing the irritation to the human respiratory tract and damage to mucous membranes caused by excessive ozone, improving the health performance of the air handling equipment, extending the service life of the deodorization module and the ozone reduction network of the air handling equipment, and improving the safety and user experience of the air handling equipment.

[0118] In one embodiment, the data acquisition unit includes an air quality detection module, which includes an air inlet TVOC sensor, an air inlet PM2.5 sensor, an air outlet ozone concentration sensor, and an air outlet TVOC sensor.

[0119] The air quality detection module can collect data on pollutant concentration at the air inlet, purification effect at the air outlet, and ozone release in real time.

[0120] In one embodiment, the data acquisition unit further includes an operation status acquisition module, which includes a timing module, a fan speed acquisition module, and an odor removal module drive parameter acquisition module.

[0121] The operation status acquisition module accurately records parameters such as the real-time air volume of the purifier fan at the corresponding speed, the discharge voltage and discharge current of the deodorization module, the cumulative running time, and the effective working time of the equipment.

[0122] In one embodiment, the data acquisition unit further includes an environmental parameter acquisition module, which includes a temperature and humidity sensor for acquiring the temperature and humidity of the incoming air.

[0123] The environmental parameter acquisition module is used to collect incoming air temperature and humidity data, which is used to correct the ozone generation characteristics of glow discharge and the ozone reduction and decomposition efficiency.

[0124] In one embodiment, the data acquisition unit further includes a restoration module status acquisition module, which is used to record the cumulative usage time of the ozone reduction network, historical ozone treatment load data, and calibration reduction efficiency attenuation correction coefficient.

[0125] The status acquisition module of the reduction module is used to record the cumulative usage time of the ozone reduction network, historical ozone treatment load data, and calibration reduction efficiency attenuation correction coefficient.

[0126] In one embodiment, the computing and storage unit includes a microcontroller and a memory, wherein the microcontroller is communicatively connected to the memory, the data acquisition unit, and the prediction model unit.

[0127] The microcontroller is responsible for solving the allowable upper limit of ozone generation, calculating the ozone prediction model, deciding on discharge control parameters, executing safety interlock logic, and calculating model correction coefficients. The memory can be non-volatile memory, used to store the ozone generation nonlinear prediction model, the deodorization efficiency correlation model, the factory-calibrated baseline parameters, historical operating data, model correction coefficients, ozone safety thresholds, and graded control strategy parameters, which are not lost when power is off.

[0128] In one embodiment, the prediction model unit includes an adaptive nonlinear prediction model for obtaining the optimal discharge power of the air handling equipment.

[0129] The adaptive nonlinear prediction model can be a dual-coupled nonlinear prediction model with multi-parameter correction, which can be an ozone generation prediction model and a deodorization efficiency prediction model, respectively. It can accurately capture the nonlinear effects of glow discharge parameters, environmental conditions, and device aging degree on ozone generation and deodorization effect.

[0130] In one embodiment, the prediction model unit includes an ozone generation prediction model and an odor removal efficiency prediction model. The ozone generation prediction model is used to obtain the estimated ozone generation for a single period; the odor removal efficiency prediction model is used to obtain the estimated odor removal efficiency.

[0131] The ozone generation prediction model and the deodorization efficiency prediction model can accurately capture the nonlinear effects of glow discharge parameters, environmental conditions, and device aging on ozone generation and deodorization effect.

[0132] In one embodiment, the prediction model unit further includes a model adaptive correction module, which dynamically updates the model coefficients based on actual measured ozone concentration data at the air outlet, odor removal efficiency test data, and device aging data, to solve the problem of long-term control accuracy decline caused by glow module aging, sensor drift, and ozone reduction network efficiency decay.

[0133] In one embodiment, the control unit includes a hierarchical control and decision unit, which is used to hierarchically control the air handling equipment.

[0134] The hierarchical control and decision-making unit presets multi-level TVOC pollution thresholds and ozone safety level thresholds, and matches them with corresponding differentiated discharge control strategies, distinguishing four control levels: zero-power standby, low-power intermittent operation, medium-power continuous operation, and high-power progressive operation. Combining user habits and equipment operating modes, it optimizes discharge parameters and start-stop timing. In sleep / silent mode, it automatically tightens safety thresholds and limits the maximum discharge power. At the same time, it has a built-in triple interlock protection mechanism to achieve rapid safety intervention in abnormal scenarios.

[0135] In one embodiment, the control unit includes a deodorization module driving unit, which is used to control the deodorization module.

[0136] The deodorization module driver unit receives decision commands and precisely adjusts core parameters such as discharge voltage, discharge frequency, duty cycle, and start-stop cycle to control ozone generation at the source.

[0137] In one embodiment, the control unit further includes an effect verification unit, which is used to execute an effect verification program.

[0138] After the control cycle ends, the effect verification unit automatically executes the effect verification program. Based on the TVOC removal rate, ozone release concentration, and changes in module operating parameters, it judges the control effect and device status, and synchronously updates the model parameters. If there is a risk of ozone exceeding the standard, it immediately triggers operations such as power reduction, shutdown protection, and maintenance reminders.

[0139] In one embodiment, the air handling device is an air purifier.

[0140] According to an embodiment of the present invention, in another aspect, a computer-readable storage medium is also provided, the computer-readable storage medium storing computer instructions that, when executed, implement the above-described air treatment method.

[0141] The computer-readable storage medium provided by the present invention, through the air treatment method of the above-described embodiments, has all the technical effects of the above-described air treatment method.

[0142] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by this application.

Claims

1. An air treatment method, characterized in that, include: Real-time acquisition of multi-dimensional air-related data, including: real-time acquisition of inlet TVOC concentration, inlet PM2.5 concentration, rated air volume of the air handling unit's fan at the corresponding speed, real-time running time, inlet air temperature, inlet air humidity, outlet TVOC concentration and outlet ozone concentration; The target deodorization efficiency and the allowable upper limit of ozone generation are obtained based on the multi-dimensional air-related data. The optimal discharge parameters of the air handling equipment are obtained based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the preset prediction model. The preset prediction model includes: an adaptive nonlinear prediction model; The optimal discharge power of the air handling equipment is obtained based on the target deodorization efficiency, the allowable upper limit of ozone generation, and the adaptive nonlinear prediction model. The discharge voltage, discharge frequency, and duty cycle that the drive circuit can execute are obtained based on the optimal discharge power. The deodorization module of the air handling equipment is controlled to perform graded intelligent discharge according to the optimal discharge parameters, including: Safety threshold verification is performed based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold. If the verification passes, the air handling equipment is controlled to perform graded intelligent discharge based on optimal discharge parameters according to the pollution level, including: Obtain the TVOC concentration at the air inlet of the air handling unit; If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is less than or equal to the first preset value, then the deodorization module of the air handling equipment shall be shut down. If the TVOC concentration at the air inlet meets the first preset value < TVOC concentration at the air inlet ≤ second preset value, then the deodorization module of the air handling equipment is controlled to start and stop intermittently according to the optimal discharge parameters. If the TVOC concentration at the air inlet meets the second preset value < TVOC concentration at the air inlet ≤ third preset value, the discharge power of the deodorization module of the air handling equipment is dynamically adjusted based on the real-time operating conditions. If the TVOC concentration at the air inlet meets the condition that the TVOC concentration at the air inlet is greater than the third preset value, then the ozone concentration and deodorization efficiency are obtained in real time, and the discharge power of the deodorization module of the air handling equipment is gradually increased within the safe threshold of the ozone concentration and the deodorization efficiency. If the verification fails, safety intervention will be implemented on the air handling equipment.

2. The air treatment method according to claim 1, characterized in that, In the process of obtaining the optimal discharge parameters of the air handling equipment based on the target deodorization efficiency, the allowable upper limit of ozone generation, and a preset prediction model, the preset prediction model further includes: Ozone generation prediction model and deodorization efficiency prediction model; The safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold includes: Based on the ozone generation prediction model, the estimated ozone generation for a single period is obtained, and the comparison result between the estimated ozone generation for a single period and the upper limit of ozone generation is obtained. Based on the odor removal efficiency prediction model, the estimated odor removal efficiency is obtained, and the comparison results between the estimated odor removal efficiency and the target odor removal efficiency are obtained. If the estimated ozone generation per cycle is less than or equal to the upper limit of ozone generation, and the estimated deodorization efficiency is greater than or equal to the target deodorization efficiency, the verification is passed. Then, based on the pollution level, the air handling equipment is controlled to perform graded intelligent discharge according to the optimal discharge parameters.

3. The air treatment method according to claim 1, characterized in that, The safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold also includes: Real-time acquisition of ozone concentration at the air outlet of air handling equipment; If the ozone concentration at the air outlet exceeds the warning threshold, the verification fails, and the air handling equipment is controlled to adjust the discharge power downward. If the ozone concentration at the air outlet exceeds the national standard limit, the verification fails, and the air handling equipment is shut down.

4. The air treatment method according to claim 1, characterized in that, The safety threshold verification based on the optimal discharge parameters, deodorization requirements, ozone prediction, and measured safety threshold also includes: Real-time acquisition of the measured deodorization efficiency and ozone concentration at the air outlet of the air handling equipment; If the measured deodorization efficiency is lower than the first preset percentage of the target deodorization efficiency, the verification fails. Under the premise that the ozone concentration at the air outlet is less than or equal to the upper limit of ozone generation, the discharge power is adjusted.

5. The air treatment method according to claim 1, characterized in that, If the verification passes, the air handling equipment is controlled to perform graded intelligent discharge based on the optimal discharge parameters according to the pollution level, further comprising: If the air handling device is in sleep mode or silent exclusive mode, the maximum discharge power of the deodorization module of the air handling device is controlled to be lower than a second preset percentage of the rated power, the deodorization module is controlled to start and stop intermittently, and the safety redundancy coefficient is reduced.

6. The air treatment method according to any one of claims 1 to 5, characterized in that, Also includes: After each complete operating cycle, the air handling equipment acquires the predicted and measured values ​​of the calibration indicators, and calculates the deviation rate based on the predicted and measured values. If the deviation rate is less than or equal to the deviation percentage, then record all the data from this run. If the deviation rate is greater than the deviation percentage and the measured ozone value is higher than the expected value, the discharge power of the deodorization module of the air handling equipment will be reduced, and the online correction of the model coefficients will be triggered.

7. The air treatment method according to claim 6, characterized in that, The process of obtaining the predicted and measured values ​​of the verification index, and calculating the deviation rate based on the predicted and measured values, includes: Obtain the estimated ozone generation, the measured ozone carry-out, the estimated deodorization efficiency, and the measured deodorization efficiency. The ozone deviation rate is calculated based on the estimated ozone generation and the measured ozone carry-out amount, and the efficiency deviation rate is calculated based on the estimated deodorization efficiency and the measured deodorization efficiency.

8. The air treatment method according to claim 6, characterized in that, Also includes: The number of operating cycles of the deodorization module of the air handling equipment and the ozone concentration at the air outlet are obtained. If the number of operating cycles reaches the preset number and the ozone concentration at the air outlet exceeds the warning threshold, the maximum discharge power of the deodorization module is reduced, and an ozone reduction network aging reminder or an ozone reduction network blockage reminder is pushed. And / or, the air treatment method further includes: obtaining the ozone concentration at the air outlet; if the ozone concentration at the air outlet instantaneously exceeds the national standard limit, shutting down the deodorization module of the air treatment equipment, controlling the fan of the air treatment equipment to run at the highest level for a preset time, pushing a safety reminder, and locking the high-power operation permission of the deodorization module.

9. The air treatment method according to any one of claims 1 to 5, characterized in that, Also includes: Real-time acquisition of TVOC concentration and duration at the air inlet; If the TVOC concentration at the air inlet is greater than the preset concentration and the duration is greater than or equal to the preset duration, a high pollution alert will be issued to the user through the display screen of the air handling equipment or through the APP. And / or, it also includes: if abnormal data is detected from the sensor at the air inlet, automatically triggering a sensor fault alert and suspending the high-power operation of the deodorization module of the air handling equipment; And / or, it also includes: if the fan of the air handling unit stops, the speed and air volume are mismatched, or the air passage is blocked, the deodorization module of the air handling unit is shut down and a fan failure reminder is sent.

10. An air handling device, characterized in that, include: The data acquisition unit is used to detect multi-dimensional air-related data in real time. The data acquisition unit includes an air quality detection module, an operation status acquisition module, and an environmental parameter acquisition module. The air quality detection module includes an inlet TVOC sensor, an inlet PM2.5 sensor, an outlet ozone concentration sensor, and an outlet TVOC sensor. The operation status acquisition module includes a timing module, a fan speed acquisition module, and an odor removal module drive parameter acquisition module. The environmental parameter acquisition module includes a temperature and humidity sensor for collecting the temperature and humidity of the incoming air. A computing and storage unit, which is communicatively connected to the data acquisition unit, is used to obtain the target deodorization efficiency and the allowable upper limit of ozone generation based on the multi-dimensional air-related data. The prediction model unit, which is communicatively connected to the computing and storage unit, is used to obtain the optimal discharge parameters of the air handling equipment; the prediction model unit includes an adaptive nonlinear prediction model, which is used to obtain the optimal discharge power of the air handling equipment. Odor removal module; The control unit is communicatively connected to the prediction model unit, the data acquisition unit, the calculation and storage unit, and the deodorization module, and the control unit is used to execute the air treatment method according to any one of claims 1 to 9.

11. The air handling equipment according to claim 10, characterized in that, The data acquisition unit also includes a restoration module status acquisition module, which is used to record the cumulative usage time of the ozone reduction network, historical ozone treatment load data, and calibration reduction efficiency attenuation correction coefficient. And / or, the computing and storage unit includes a microcontroller and a memory, wherein the microcontroller is communicatively connected to the memory, the data acquisition unit and the prediction model unit; And / or, the prediction model unit includes an ozone generation prediction model and an odor removal efficiency prediction model, wherein the ozone generation prediction model is used to obtain the estimated ozone generation in a single period; and the odor removal efficiency prediction model is used to obtain the estimated odor removal efficiency. And / or, the control unit includes a hierarchical control and decision unit, which is used to hierarchically control the air handling equipment; And / or, the control unit includes a deodorization module drive unit, which is used to control the deodorization module; And / or, the control unit further includes an effect verification unit, which is used to execute an effect verification program; And / or, the air handling device is an air purifier.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed, implement the air treatment method according to any one of claims 1 to 9.

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